Applied Evaluative Informetrics: Part 1

This manuscript is a preprint version of Part 1 (General Introduction and Synopsis) of the book Applied Evaluative Informetrics, to be published by Springer in the summer of 2017. This book presents an introduction to the field of applied evaluative informetrics, and is written for interested scholars and students from all domains of science and scholarship. It sketches the field's history, recent achievements, and its potential and limits. It explains the notion of multi-dimensional research performance, and discusses the pros and cons of 28 citation-, patent-, reputation- and altmetrics-based indicators. In addition, it presents quantitative research assessment as an evaluation science, and focuses on the role of extra-informetric factors in the development of indicators, and on the policy context of their application. It also discusses the way forward, both for users and for developers of informetric tools.Comment: The posted version is a preprint (author copy) of Part 1 (General Introduction and Synopsis) of a book entitled Applied Evaluative Bibliometrics, to be published by Springer in the summer of 201

Schumpeter’s (1934) influence on entrepreneurship (and management) research

Entrepreneurship research has flourished since de 1980s, following the institutional development that created schools and courses, research centers and dedicated journals. This paper examines the impact of Joseph Schumpeter, one of the main “knowledge producers” whose concepts and ideas on the entrepreneur, entrepreneurship and innovation have shaped the discipline and much of the research on entrepreneurship, and has influenced the thought on other areas of management. Methodologically, we conducted a bibliometric study of the articles published in 16 high stature international journals, over a period of 30 years, between 1981 and 2010. On a sample of 412 articles citing Schumpeter, we analyzed and mapped citations, co-citations and research themes. We further establish distinctions between entrepreneurship and management research. This study presents a manner to examine the influence of a scholar, and a set of conceptualizations he has introduced, on a discipline. Schumpeter has had an imprint in the multidisciplinary and wealth of research themes that entrepreneurship scholars have delved upon but also in other management disciplines, where his perspectives on entrepreneurship, the entrepreneur and innovation have contributed to much of the research conducted to date. Although entrepreneurship has remained largely multidisciplinary and drawing from the main management theories there is a growing body of entrepreneurship-specific literature.info:eu-repo/semantics/publishedVersio

The substantive and practical significance of citation impact differences between institutions: Guidelines for the analysis of percentiles using effect sizes and confidence intervals

In our chapter we address the statistical analysis of percentiles: How should the citation impact of institutions be compared? In educational and psychological testing, percentiles are already used widely as a standard to evaluate an individual's test scores - intelligence tests for example - by comparing them with the percentiles of a calibrated sample. Percentiles, or percentile rank classes, are also a very suitable method for bibliometrics to normalize citations of publications in terms of the subject category and the publication year and, unlike the mean-based indicators (the relative citation rates), percentiles are scarcely affected by skewed distributions of citations. The percentile of a certain publication provides information about the citation impact this publication has achieved in comparison to other similar publications in the same subject category and publication year. Analyses of percentiles, however, have not always been presented in the most effective and meaningful way. New APA guidelines (American Psychological Association, 2010) suggest a lesser emphasis on significance tests and a greater emphasis on the substantive and practical significance of findings. Drawing on work by Cumming (2012) we show how examinations of effect sizes (e.g. Cohen's d statistic) and confidence intervals can lead to a clear understanding of citation impact differences